The MX Series
The Convey MX Series is a smarter computer architecture tailored to the growing needs of big data applications. These types of applications demand a new approach to computing that brings performance and affordability to solving extremely large, irregular and hard to partition problems.
Big data analytics, like those found in genomics, graph analytics, social network analytics, fraud detection, and security are typically not well suited for racks of commodity systems.
“Many high performance analytics (HPA) applications are organized around pointer-based data structures, such as trees and graphs. These irregular applications are hard to partition and generally run inefficiently on commodity clusters. The MX Series successfully solves this challenge with an innovative architecture uniquely packaged in a high-performance, power-efficient, and affordable solution.”
Bruce Toal
CEO of Convey
The MX Architecture complements Convey’s existing HC Series by increasing memory features and parallelization capabilities. Both architectures provide a robust platform for researchers developing high performance analytics (HPA) applications.
In many situations, Convey hybrid-core systems can replace tens or hundreds of commodity systems dedicated to HPA applications. Using the Convey hybrid-core systems, customers can dramatically accelerate a wide range of applications, while lowering energy consumption.